Emma Connell

532 citations
11 papers · 432 · h-index 10

Impact in

    • Cellular transport and secretion
  • Physiology top 10%
    • Calcium signaling and nucleotide metabolism
    • Erythrocyte Function and Pathophysiology
    • Lysosomal Storage Disorders Research

Papers in

    • Cellular transport and secretion 9
    • Lipid Membrane Structure and Behavior 6
    • Ion channel regulation and function 2
    • Biochemical and Structural Characterization 2

Emma Connell

11 papers receiving 428 citations

Peers

Emma Connell
Comparison fields: 5 of 77
  • Cell Biology 236
  • Physiology 44
  • Cellular and Molecular Neuroscience 90
  • Molecular Biology 297
  • Physiology 85
Replace Liang‐Wei Gong with:
Liang‐Wei Gong United States
Livia Goto‐Silva Brazil
Carlos Bessa Portugal
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Mailis Liiv Estonia
Akbar Zeb Estonia
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Citations per field
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Citations per year

Countries citing papers authored by Emma Connell

Since Specialization
Citations

This map shows the geographic impact of Emma Connell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Emma Connell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Connell more than expected).

Fields of papers citing papers by Emma Connell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma Connell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Emma Connell. The network helps show where Emma Connell may publish in the future.

Co-authors

The 25 scholars most cited alongside Emma Connell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Emma Connell Line = papers co-authored together Emma Connell links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 200775
2 201366
3 200963
4 200757
5 200849
6 200737
7 201228
8 200822
9 200815
10 200913
11 20227

About Emma Connell

Emma Connell is a scholar working on Cell Biology, Molecular Biology, Genetics, Physiology and Surgery, having authored 11 papers that have together received 432 indexed citations. Recurring topics across this work include Cellular transport and secretion (9 papers), Lipid Membrane Structure and Behavior (6 papers), Ion channel regulation and function (2 papers), Biochemical and Structural Characterization (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Pancreatic function and diabetes (1 paper), Lysosomal Storage Disorders Research (1 paper) and Sports injuries and prevention (1 paper). The work is most often cited by research in Cell Biology (236 citations), Physiology (44 citations), Cellular and Molecular Neuroscience (90 citations), Molecular Biology (297 citations) and Physiology (85 citations). Emma Connell has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Bazbek Davletov, Frédéric Darios, Sew‐Yeu Peak‐Chew, Kerensa Broersen, Colin Rickman, María Dolores Ledesma, Matthijs Verhage, Laura Morando, Marco Sassoé‐Pognetto and Maurizio Giustetto. Their work appears in journals such as Journal of Neuroscience, International Journal of Environmental Research and Public Health, Journal of Molecular Biology, Biochemistry and Cellular and Molecular Life Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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